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XYO’s Plan for Q4 2023: Exploring Exciting New Features and Improved Developer Tools
October 24, 2023
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Q4 2023 is going to be big for the XYO team, as we finalize critical developer tools and unveil new concepts and features. We’re excited to share our plans with you and can’t wait to show you how these developments will revolutionize the XYO ecosystem.

Keep in mind, this is only the roadmap updates for Q4–2023. The full 2024 roadmap will also be shared in the next few weeks!

Be sure to check out the updated visual Q4 roadmap on the XYO Website!

But before we venture forth, let’s talk about what’s not on the docket for Q4. As you may have guessed, if you’re familiar with our original 2023 roadmap, some of our most exciting and ambitious plans for 2023 have been bumped to Q1 and Q2 of 2024. This includes our Crypto Cards CCG and the new version of XYO World.

Wait! Hold your groans, we’re not here to disappoint you today.

There’s a simple reason for this. Those new products have got to be good, and we’re not going to release them until we’re confident they are. So we’re dedicating Q4 to improving the foundations upon which these products — and indeed the entire XYO ecosystem — are built. Moreover, many of the features queued for Q4 are key features or requirements for our products in 2024. Not only will we be improving the underlying technology, we’ll also be taking critical steps towards making future products a reality.

Part of this plan includes some really cool stuff we haven’t talked about before. You’re going to like it, we can pretty much guarantee it. But we’ll get to that in a moment — read on.

Our most important goal for wrapping up 2023 is to create a stronger foundation for both XYO World (XYOW) and Crypto Cards CCG, not to mention the wider XYO ecosystem. To achieve this, we’ve decided to move the launch of both of these products to the first half of 2024, and first focus on building core XYO Platform technology required to develop XYO dApps like these including two new XYO features — PermaShare and Live Sharing.

These new concepts are key features for both XYOW and Crypto Cards CCG, and we can’t wait to show you how they’ll enhance the user experience for players like you.

PermaShare is an XYO Tool that allows you to share a permanent snapshot of a webpage. See a funny typo on CNN’s homepage? Want to share the breaking news article in The New York Times? With PermaShare, you can truly create a permanent snapshot of anything you want to share, and it can never be changed or deleted.

This may sound similar to projects like the Internet Archive’s Wayback Machine. But PermaShare is a critical evolution of the concept. For example, the Wayback Machine doesn’t store images, and as a result, a lot of material is lost. PermaShare, on the other hand, provides a true, image-based or cryptographic data snapshot.

In contrast, here’s the earliest Wayback Machine snapshot of Whitehouse.gov, from 1996:

Moreover, PermaShare permanently validates the data saved with blockchain cryptography, providing a source and proving that snapshots taken are unaltered. This is the critical provenance the internet needs in the age of digital misinformation and AI.

PermaShare is a core feature we’ve had planned for XYO World and Crypto Cards all year. In order to share and verify important information from either of those products, we’ll include PermaShare. For example, the outcome of a game of CryptoCards can be verified by anyone with access to the PermaShare snapshot for that battle.

We’ve decided to release PermaShare as not just a mutual feature of XYO World and Crypto Cards, but as a product unto itself, because its vast array of potential uses demand that it be made easily available to both users and developers. It’s a fantastic on-ramp, a great reason to include XYO into a third party project or product, and it will doubtlessly be included in more XYO products in the future.

We’re also building out our feature called Live Sharing. This won’t be a product on its own, but it will be an important feature of XYO products moving forward and will be included in XYO’s public SDKs.

It’s already been debuted in Foreventory, and is now in the process of being refined and expanded.

This is a little different from the sharing features with which you may be familiar. The data shared is dynamic, and will update when anything changes. For example, in Foreventory, if Descartes begins getting more value out of Netflix than Nietzsche in the future, that will be reflected in the results if anyone visits the shared link.

Live Sharing is, simply put, a better way to share mutable data. If you want to share your Crypto Cards score over time, the same share link will always show your most recent statistics. (This synergizes perfectly with PermaShare, which would allow you to share your Live Sharing link at a specific moment in time, proving how much progress you’ve made.)

Together with COIN, Crypto Cards CCG and XYO World will become the second and third pillars of XYO’s new decentralized gaming ecosystem, which will harness a massive, decentralized network of users and devices to both generate and utilize astonishingly powerful aggregate data.

But there’s something else we haven’t told you about yet. Something for which we’re building the foundations. In Q1 2024, we’re introducing the XYO Builder Bounty Program.

Get ready for our first ever opportunity for fans to supercharge the power of XYO, coming in 2024. We’re giving true enthusiasts like you the chance to directly contribute to building XYO and earn exclusive, specialty rewards. Don’t miss out on the electrifying updates in our upcoming 2024 Roadmap. Stay tuned, it’s dropping soon!

In service of these goals, our future goals, as well as the wider adoption of XYO, we’re also hard at work revitalizing our developer tools. These tools have been designed to make it easy for developers to build and integrate XYO technology into their own apps and projects. We believe that improving these tools will help us reach a wider audience of developers and enthusiasts who are excited about the possibilities afforded by XYO technology.

                 

This includes updates to our Explore and Node sites to better reflect the latest developments and improvements in our technology. These tools have become integral parts of the XYO ecosystem, and we recognize the importance of keeping them current and relevant to our users. By updating these web apps, we hope to provide users with an even better experience and make it easier than ever for developers to keep XYO up-to-date in their software projects.

We’ve also previously mentioned that there are major, ongoing changes to the XYO SDKs. These changes will augment the same products that PermaShare and Live Sharing have been built to support. By including these features in our public SDKs, we ensure that XYO is as useful as possible for third party developers, and we enable all XYO products to include our best features quickly and efficiently.

Also being updated is the crucial and oft-discussed XYO protocol — the set of rules and standards upon which XYO operates. Small, specific changes across all of these developer tools include:

  • Distributed Indexing
  • Unilateral Module Manifest Support
  • Node Diagram and Module Reflection

The updates to these tools will allow both internal and external developers to build on XYO more efficiently, faster, and with greater ease than ever before.

Q4 2023 is shaping up to be an exciting time for the XYO team and our users. While we’ve decided not to rush the fun stuff we’d originally planned, we think it’s better to make sure those things are excellent when we do release them next year. And what we’re doing now will not only make those products better, but allow for the incorporation of some of their important features into other software — both internal and third party that could greatly benefit from them.

From improved developer tools and SDKs, to PermaShare and Live Sharing, we’re building the foundations for fun and exciting new consumer products and pushing the boundaries of what’s possible in the world of web3. We’re excited to continue sharing our progress and developments with you, and can’t wait to see how these new advancements will revolutionize the industry.

And, perhaps most exciting of all, we’re introducing a way for you, the people who love XYO, to help XYO succeed and get rewarded for doing it. We are beyond thrilled to finally get to tell you about the XYO Builder Bounty Program for the very first time and we can hardly wait to tell you more in future updates.

XYO posts every day to X, Facebook, and Instagram. You’ll find our latest updates on your favorite:

Ready to join the XYO community? Jump into DiscordReddit, or Telegram!

And don’t miss the news from the man, himself, Arie Trouw, CEO of XY Labs! When a really big development hits, he’ll usually be the first to tell the community, so be sure to follow him on X.

Thank you for joining us on this journey. We deeply appreciate those of you who support us, share us with your friends and family, and make up the incredible XYO community!

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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notesMassachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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